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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
65 vs 75
Hardware Fit
88 vs 93
Quality Score
55 vs 67

Hardware

glm-4.6v-flash llama3.1:8b
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash llama3.1:8b
Tokens/sec49.920.3
First chunk27 msN/A
TTFT3.7 s315 ms
Load time2.7 s1.1 s
Memory usage0.0 GB10.4 GB
Memory %0%33%

HW Fit Score Breakdown

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

llama3.1:8b

Speed
33/50
TTFT
30/20
Memory
30/30

Quality

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong Multilingual: Strong

llama3.1:8b

Reasoning
12/20
Coding
15/20
Instruction
13/20
Structured
13/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View glm-4.6v-flash details | View llama3.1:8b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest